Title :
A time-domain approach for the identification of atrial fibrillation drivers
Author :
Ravelli, Flavia ; Masè, Michela
Author_Institution :
Dept. of Phys. & BIOtech, Univ. of Trento, Trento, Italy
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
The localization of atrial fibrillation (AF) driver sources, characterized by rapid and regular electrical activity, is crucial for an effective ablation treatment. This work proposes a double-criteria approach for the identification of AF drivers based on a time-domain evaluation of atrial rate and AF organization. These two features are quantified by the measurement of atrial cycle length (ACL) and wave-similarity (WS). Based on ACL/WS formalism, AF drivers can be operatively defined as sites displaying electrical activity with high-rate and high-similarity (HR AND HS). The capability of ACL/WS analysis to identify AF driver sites and distinguish them from non-critical areas is shown in representative examples. The double-criteria evaluation for the identification of AF drivers, provided by our time-domain approach, might open new perspectives for the development of electrogram-guided ablation strategies in the single patient.
Keywords :
bioelectric phenomena; patient treatment; time-domain analysis; ACL-WS analysis; ablation treatment; atrial cycle length; atrial fibrillation driver sources; atrial fibrillation organization; electrical activity; electrogram-guided ablation strategy; time-domain approach; wave-similarity; Atrial fibrillation; Band pass filters; Morphology; Organizations; Substrates; Time domain analysis; Veins; Algorithms; Atrial Fibrillation; Body Surface Potential Mapping; Diagnosis, Computer-Assisted; Electrocardiography; Heart Conduction System; Humans; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091410